Alternatives and similar repositories for modelcomponents

Users that are interested in modelcomponents are comparing it to the libraries listed below

• multimodal-interpretability / maia
  Official implementation of MAIA, A Multimodal Automated Interpretability Agent
  ☆83Updated last month
• EvolvingLMMs-Lab / multimodal-sae
  [ICCV 2025] Auto Interpretation Pipeline and many other functionalities for Multimodal SAE Analysis.
  ☆146Updated 3 weeks ago
• katiekang1998 / reasoning_generalization
  ☆34Updated 6 months ago
• g-luo / vlm_cross_modal_reps
  Official PyTorch Implementation for Vision-Language Models Create Cross-Modal Task Representations, ICML 2025
  ☆29Updated 3 months ago
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆173Updated last year
• goombalab / phi-mamba
  Official implementation of Phi-Mamba. A MOHAWK-distilled model (Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Mode…
  ☆113Updated 10 months ago
• oripress / EntropyEnigma
  Official code for the ICML 2024 paper "The Entropy Enigma: Success and Failure of Entropy Minimization"
  ☆53Updated last year
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆92Updated 10 months ago
• prateeky2806 / ties-merging
  ☆185Updated last year
• taufeeque9 / codebook-features
  Sparse and discrete interpretability tool for neural networks
  ☆63Updated last year
• JoshEngels / MultiDimensionalFeatures
  Code for reproducing our paper "Not All Language Model Features Are Linear"
  ☆77Updated 8 months ago
• stanfordmlgroup / ManyICL
  ☆142Updated last year
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆112Updated last month
• SakanaAI / Sudoku-Bench
  An AI benchmark for creative, human-like problem solving using Sudoku variants
  ☆84Updated last week
• uclaml / MoE
  Towards Understanding the Mixture-of-Experts Layer in Deep Learning
  ☆31Updated last year
• pliang279 / HEMM
  Holistic evaluation of multimodal foundation models
  ☆48Updated 11 months ago
• lucidrains / coconut-pytorch
  Implementation of 🥥 Coconut, Chain of Continuous Thought, in Pytorch
  ☆178Updated last month
• neilwen987 / CSR_Adaptive_Rep
  Official Code for Paper: Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
  ☆116Updated last month
• abdelwahed / OT_for_big_data
  Optimal Transport in the Big Data Era
  ☆107Updated 9 months ago
• HKUNLP / diffusion-of-thoughts
  [NeurIPS 2024] Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"
  ☆172Updated 5 months ago
• llm-merging / LLM-Merging
  LLM-Merging: Building LLMs Efficiently through Merging
  ☆202Updated 10 months ago
• csinva / interpretable-embeddings
  Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)
  ☆39Updated 8 months ago
• jxiw / MambaInLlama
  [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models
  ☆225Updated 3 months ago
• Leiay / looped_transformer
  ☆30Updated last year
• gstoica27 / KnOTS
  Model Merging with SVD to Tie the KnOTS [ICLR 2025]
  ☆62Updated 4 months ago
• RobertCsordas / moeut
  ☆83Updated 11 months ago
• koayon / awesome-adaptive-computation
  A curated reading list of research in Adaptive Computation, Inference-Time Computation & Mixture of Experts (MoE).
  ☆149Updated 7 months ago
• jonhue / activeft
  PyTorch library for Active Fine-Tuning
  ☆87Updated 5 months ago
• fangyuan-ksgk / selective-attention-transformer
  Unofficial Implementation of Selective Attention Transformer
  ☆17Updated 9 months ago
• Luckfort / CD
  [COLING'25] Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?
  ☆79Updated 6 months ago